Albany - NY, Oct. 21, 2015 (GLOBE NEWSWIRE) -- Dialysis is the artificial process of eliminating waste and unwanted water from the blood. It is carried out by using a special fluid called dialysate, a mixture of pure water and chemicals, is carefully controlled to pull wastes out of your blood without removing substances your body needs. There are two types of dialysis: hemodialysis and peritoneal dialysis. Hemodialysis removes wastes and water by circulating blood outside the body through an external filter, called a dialyzer and in peritoneal dialysis, wastes and water are removed from the blood inside the body using the peritoneum as a natural semipermeable membrane.

End stage renal disease (ESRD) is the last stage of chronic kidney disease. This is the situation when kidney is functioning below 10% of their normal function and they can no longer support a person's day to day life. The common causes of ESRD include high blood pressure, atherosclerosis, and genetic disorders. ESRD treatment is carried out either by dialysis or kidney transplant.

The report analyzes the global and regional dialysis markets. Some of the factors driving the growth of dialysis market include: growing number of diabetic patients, increasing dialysis population and incidences of chronic and infectious diseases which has further increased the healthcare expenditure and pharmaceutical sales. Market dynamics like key trends and development, challenges and growth drivers are discussed in detail. The key players having the vicious competition with each other are: DaVita, Baxter, and Fresenius. These players are being profiled in the report along with their key financials and strategies for growth.

By combining SPSS Inc.'s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the market. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.

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